DocumentCode :
3346428
Title :
Modeling and measurement of optical polarimetric image phenomenology in a complex urban environment
Author :
Presnar, Michael D. ; Kerekes, John P.
Author_Institution :
Chester F. Carlson Center for Imaging Sci., Rochester Inst. of Technol., Rochester, NY, USA
fYear :
2010
fDate :
25-30 July 2010
Firstpage :
4389
Lastpage :
4392
Abstract :
Polarimetric scene phenomenology yields a remote sensing modality that can be used in tandem with or alternative to panchromatic, multispectral, hyperspectral, or infrared intensity imagery. A synthetic image generator boasting a validated polarimetric modality is extremely valuable when testing optical polarimeter models prior to construction and flight test of real sensor hardware and software. Virtual airborne optical sensors can be modeled and placed above a complex synthetic urban scene to create spectrally varying Stokes vector output imagery. Material reflectances, scene geometries, solar and sensor positions, and varying atmospheric conditions all combine to produce spectropolarimetric sensor-reaching radiance that can be characterized by a degree and angle of polarization image. For this paper, example synthetic images were rendered with the Digital Imaging and Remote Sensing Image Generation (DIRSIG) model and compared with real-life camera imagery of motor vehicles. Polarimetric phenomenology was found to be consistent between modeled and measured imagery.
Keywords :
geophysical image processing; image sensors; optical sensors; optical variables measurement; polarimetry; reflectivity; remote sensing; rendering (computer graphics); DIRSIG model; Stokes vector output imagery; complex urban environment; digital imaging and remote sensing image generation model; image rendering; material reflectance; optical polarimetric image phenomenology; polarimetric scene phenomenology; remote sensing modality; scene geometry; spectropolarimetric sensor-reaching radiance; synthetic image generator; virtual airborne optical sensor; Atmospheric modeling; Cameras; Glass; Mathematical model; Paints; Vehicles; Image Sensors; Object Detection; Optical Polarization; Remote Sensing; Simulation Software;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
ISSN :
2153-6996
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2010.5652206
Filename :
5652206
Link To Document :
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